{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/aqpimac/Dropbox/Kendall-Hannah-Andy/final-replication-june2021/done/log-table-1.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}19 Jul 2021, 17:07:56

{com}. do "/var/folders/h1/hp0yzwm93w78bgxmmvf1zxzc0000gn/T//SD65756.000000"
{txt}
{com}. * Funk, Paul and Philips
. * "Point Break: Using Machine Learning to Uncover a Critical Mass in Women’s Representation", Forthcoming at PSRM
. *
. *
. * Last Updated: 7/19/21
. * Replication for Table 1 
. * -----------------------------------------------------------------------------
. use funk-paul-philips-replication.dta, clear
{txt}
{com}. set seed 590381  
{txt}
{com}. xtset newccode year
{res}{txt}{col 8}panel variable:  {res}newccode (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 1975 to 2017
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. mkspline wom1 20.5 wom2 39.5 wom3 = percent_women_Q, displayknots

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:knot1}{space 1}{space 1}{ralign 9:knot2}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:percent_wo~Q}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     20.5}}}{space 1}{space 1}{ralign 9:{res:{sf:     39.5}}}{space 1}

{com}. 
. global educcontrols Populationdensitypeoplepers PopulationtotalSPPOPTOTL Laborforcefemaleoftotal Prevalenceofanemiaamongnonp Populationfemaleoftotal polity2 Laborforceparticipationrate TradeofGDPNETRDGNFSZS Employmenttopopulationratio Ruralpopulationoftotalpop Importsofgoodsandservices
{txt}
{com}. 
. tab year, ge(y)

       {txt}year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1975 {c |}{res}        147        2.31        2.31
{txt}       1976 {c |}{res}        147        2.31        4.61
{txt}       1977 {c |}{res}        147        2.31        6.92
{txt}       1978 {c |}{res}        147        2.31        9.22
{txt}       1979 {c |}{res}        147        2.31       11.53
{txt}       1980 {c |}{res}        147        2.31       13.84
{txt}       1981 {c |}{res}        147        2.31       16.14
{txt}       1982 {c |}{res}        147        2.31       18.45
{txt}       1983 {c |}{res}        147        2.31       20.75
{txt}       1984 {c |}{res}        147        2.31       23.06
{txt}       1985 {c |}{res}        147        2.31       25.36
{txt}       1986 {c |}{res}        147        2.31       27.67
{txt}       1987 {c |}{res}        147        2.31       29.98
{txt}       1988 {c |}{res}        147        2.31       32.28
{txt}       1989 {c |}{res}        147        2.31       34.59
{txt}       1990 {c |}{res}        148        2.32       36.91
{txt}       1991 {c |}{res}        148        2.32       39.23
{txt}       1992 {c |}{res}        149        2.34       41.57
{txt}       1993 {c |}{res}        149        2.34       43.91
{txt}       1994 {c |}{res}        149        2.34       46.24
{txt}       1995 {c |}{res}        149        2.34       48.58
{txt}       1996 {c |}{res}        149        2.34       50.92
{txt}       1997 {c |}{res}        149        2.34       53.25
{txt}       1998 {c |}{res}        149        2.34       55.59
{txt}       1999 {c |}{res}        149        2.34       57.93
{txt}       2000 {c |}{res}        149        2.34       60.27
{txt}       2001 {c |}{res}        149        2.34       62.60
{txt}       2002 {c |}{res}        149        2.34       64.94
{txt}       2003 {c |}{res}        149        2.34       67.28
{txt}       2004 {c |}{res}        149        2.34       69.62
{txt}       2005 {c |}{res}        149        2.34       71.95
{txt}       2006 {c |}{res}        149        2.34       74.29
{txt}       2007 {c |}{res}        149        2.34       76.63
{txt}       2008 {c |}{res}        149        2.34       78.96
{txt}       2009 {c |}{res}        149        2.34       81.30
{txt}       2010 {c |}{res}        149        2.34       83.64
{txt}       2011 {c |}{res}        149        2.34       85.98
{txt}       2012 {c |}{res}        149        2.34       88.31
{txt}       2013 {c |}{res}        149        2.34       90.65
{txt}       2014 {c |}{res}        149        2.34       92.99
{txt}       2015 {c |}{res}        149        2.34       95.33
{txt}       2016 {c |}{res}        149        2.34       97.66
{txt}       2017 {c |}{res}        149        2.34      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      6,375      100.00
{txt}
{com}. 
. * Table 1:
. * model w/ no breakpoint
. xtreg percent_education percent_women_Q $educcontrols y26-y41, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,979
{txt}Group variable: {res}newccode{txt}{col 49}Number of groups{col 67}={col 69}{res}       138

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1427{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2067{col 63}{txt}avg{col 67}={col 69}{res}      14.3
{txt}     overall = {res}0.2299{col 63}{txt}max{col 67}={col 69}{res}        25

{txt}{col 49}F({res}28{txt},{res}1813{txt}){col 67}={col 70}{res}    10.78
{txt}corr(u_i, Xb){col 16}= {res}-0.1615{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          percent_education{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}percent_women_Q {c |}{col 29}{res}{space 2} .0125919{col 41}{space 2} .0041115{col 52}{space 1}    3.06{col 61}{space 3}0.002{col 69}{space 4} .0045282{col 82}{space 3} .0206556
{txt}Populationdensitypeoplepers {c |}{col 29}{res}{space 2} -.000585{col 41}{space 2} .0003247{col 52}{space 1}   -1.80{col 61}{space 3}0.072{col 69}{space 4}-.0012219{col 82}{space 3} .0000519
{txt}{space 3}PopulationtotalSPPOPTOTL {c |}{col 29}{res}{space 2}-2.32e-09{col 41}{space 2} 1.95e-09{col 52}{space 1}   -1.19{col 61}{space 3}0.235{col 69}{space 4}-6.15e-09{col 82}{space 3} 1.51e-09
{txt}{space 4}Laborforcefemaleoftotal {c |}{col 29}{res}{space 2} .0337001{col 41}{space 2} .0344038{col 52}{space 1}    0.98{col 61}{space 3}0.327{col 69}{space 4}-.0337751{col 82}{space 3} .1011753
{txt}Prevalenceofanemiaamongnonp {c |}{col 29}{res}{space 2}-.0153003{col 41}{space 2} .0072676{col 52}{space 1}   -2.11{col 61}{space 3}0.035{col 69}{space 4}-.0295541{col 82}{space 3}-.0010465
{txt}{space 4}Populationfemaleoftotal {c |}{col 29}{res}{space 2}-.1468116{col 41}{space 2} .0672353{col 52}{space 1}   -2.18{col 61}{space 3}0.029{col 69}{space 4}-.2786784{col 82}{space 3}-.0149449
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2} .0123224{col 41}{space 2}  .009041{col 52}{space 1}    1.36{col 61}{space 3}0.173{col 69}{space 4}-.0054094{col 82}{space 3} .0300542
{txt}Laborforceparticipationrate {c |}{col 29}{res}{space 2} .0071199{col 41}{space 2} .0205693{col 52}{space 1}    0.35{col 61}{space 3}0.729{col 69}{space 4}-.0332221{col 82}{space 3} .0474618
{txt}{space 6}TradeofGDPNETRDGNFSZS {c |}{col 29}{res}{space 2}-.0209008{col 41}{space 2} .0030245{col 52}{space 1}   -6.91{col 61}{space 3}0.000{col 69}{space 4}-.0268327{col 82}{space 3}-.0149689
{txt}Employmenttopopulationratio {c |}{col 29}{res}{space 2}-.0253418{col 41}{space 2}  .013528{col 52}{space 1}   -1.87{col 61}{space 3}0.061{col 69}{space 4} -.051874{col 82}{space 3} .0011904
{txt}{space 2}Ruralpopulationoftotalpop {c |}{col 29}{res}{space 2}-.0268603{col 41}{space 2} .0082167{col 52}{space 1}   -3.27{col 61}{space 3}0.001{col 69}{space 4}-.0429755{col 82}{space 3} -.010745
{txt}{space 2}Importsofgoodsandservices {c |}{col 29}{res}{space 2} .0471345{col 41}{space 2} .0055988{col 52}{space 1}    8.42{col 61}{space 3}0.000{col 69}{space 4} .0361538{col 82}{space 3} .0581153
{txt}{space 24}y26 {c |}{col 29}{res}{space 2}-.0962087{col 41}{space 2}  .088037{col 52}{space 1}   -1.09{col 61}{space 3}0.275{col 69}{space 4}-.2688734{col 82}{space 3}  .076456
{txt}{space 24}y27 {c |}{col 29}{res}{space 2} -.041755{col 41}{space 2} .0896026{col 52}{space 1}   -0.47{col 61}{space 3}0.641{col 69}{space 4}-.2174903{col 82}{space 3} .1339803
{txt}{space 24}y28 {c |}{col 29}{res}{space 2} .0215866{col 41}{space 2} .0890504{col 52}{space 1}    0.24{col 61}{space 3}0.808{col 69}{space 4}-.1530656{col 82}{space 3} .1962389
{txt}{space 24}y29 {c |}{col 29}{res}{space 2} .0130529{col 41}{space 2} .0918342{col 52}{space 1}    0.14{col 61}{space 3}0.887{col 69}{space 4}-.1670591{col 82}{space 3}  .193165
{txt}{space 24}y30 {c |}{col 29}{res}{space 2}-.0520737{col 41}{space 2} .0885823{col 52}{space 1}   -0.59{col 61}{space 3}0.557{col 69}{space 4}-.2258078{col 82}{space 3} .1216605
{txt}{space 24}y31 {c |}{col 29}{res}{space 2}-.0080891{col 41}{space 2} .0918782{col 52}{space 1}   -0.09{col 61}{space 3}0.930{col 69}{space 4}-.1882874{col 82}{space 3} .1721092
{txt}{space 24}y32 {c |}{col 29}{res}{space 2}-.1518551{col 41}{space 2} .0932176{col 52}{space 1}   -1.63{col 61}{space 3}0.103{col 69}{space 4}-.3346802{col 82}{space 3} .0309701
{txt}{space 24}y33 {c |}{col 29}{res}{space 2}-.1956624{col 41}{space 2} .0963451{col 52}{space 1}   -2.03{col 61}{space 3}0.042{col 69}{space 4}-.3846213{col 82}{space 3}-.0067034
{txt}{space 24}y34 {c |}{col 29}{res}{space 2}-.1263529{col 41}{space 2}  .096722{col 52}{space 1}   -1.31{col 61}{space 3}0.192{col 69}{space 4}-.3160512{col 82}{space 3} .0633454
{txt}{space 24}y35 {c |}{col 29}{res}{space 2} .2526056{col 41}{space 2} .0947313{col 52}{space 1}    2.67{col 61}{space 3}0.008{col 69}{space 4} .0668115{col 82}{space 3} .4383997
{txt}{space 24}y36 {c |}{col 29}{res}{space 2} .1215946{col 41}{space 2} .0957874{col 52}{space 1}    1.27{col 61}{space 3}0.204{col 69}{space 4}-.0662707{col 82}{space 3} .3094598
{txt}{space 24}y37 {c |}{col 29}{res}{space 2} .0225073{col 41}{space 2} .0973491{col 52}{space 1}    0.23{col 61}{space 3}0.817{col 69}{space 4}-.1684208{col 82}{space 3} .2134355
{txt}{space 24}y38 {c |}{col 29}{res}{space 2} .0259302{col 41}{space 2} .1002793{col 52}{space 1}    0.26{col 61}{space 3}0.796{col 69}{space 4} -.170745{col 82}{space 3} .2226053
{txt}{space 24}y39 {c |}{col 29}{res}{space 2} .1093138{col 41}{space 2} .1003475{col 52}{space 1}    1.09{col 61}{space 3}0.276{col 69}{space 4}-.0874951{col 82}{space 3} .3061228
{txt}{space 24}y40 {c |}{col 29}{res}{space 2} .0855664{col 41}{space 2} .1012598{col 52}{space 1}    0.85{col 61}{space 3}0.398{col 69}{space 4}-.1130318{col 82}{space 3} .2841645
{txt}{space 24}y41 {c |}{col 29}{res}{space 2} .1337302{col 41}{space 2} .1042832{col 52}{space 1}    1.28{col 61}{space 3}0.200{col 69}{space 4}-.0707977{col 82}{space 3}  .338258
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 12.68674{col 41}{space 2} 3.154201{col 52}{space 1}    4.02{col 61}{space 3}0.000{col 69}{space 4} 6.500486{col 82}{space 3} 18.87299
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    sigma_u {c |} {res}  1.479563
                    {txt}sigma_e {c |} {res} .74071489
                        {txt}rho {c |} {res}  .7995962{txt}   (fraction of variance due to u_i)
{hline 28}{c BT}{hline 64}
F test that all u_i=0: F({res}137{txt}, {res}1813{txt}) = {res}34.15{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     1,979{col 28}-2279.729{col 39}-2127.414{col 50}    29{col 58} 4312.829{col 69} 4474.949
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. * model w/ breakpoint
. xtreg percent_education c.(wom1 wom2 wom3) $educcontrols y26-y41, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}     1,979
{txt}Group variable: {res}newccode{txt}{col 49}Number of groups{col 67}={col 69}{res}       138

{txt}R-sq:{col 49}Obs per group:
     within  = {res}0.1475{col 63}{txt}min{col 67}={col 69}{res}         1
{txt}     between = {res}0.2161{col 63}{txt}avg{col 67}={col 69}{res}      14.3
{txt}     overall = {res}0.2422{col 63}{txt}max{col 67}={col 69}{res}        25

{txt}{col 49}F({res}30{txt},{res}1811{txt}){col 67}={col 70}{res}    10.45
{txt}corr(u_i, Xb){col 16}= {res}-0.1378{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          percent_education{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 23}wom1 {c |}{col 29}{res}{space 2}-.0007942{col 41}{space 2} .0058974{col 52}{space 1}   -0.13{col 61}{space 3}0.893{col 69}{space 4}-.0123607{col 82}{space 3} .0107723
{txt}{space 23}wom2 {c |}{col 29}{res}{space 2} .0287494{col 41}{space 2} .0069895{col 52}{space 1}    4.11{col 61}{space 3}0.000{col 69}{space 4}  .015041{col 82}{space 3} .0424577
{txt}{space 23}wom3 {c |}{col 29}{res}{space 2}   .00709{col 41}{space 2} .0199159{col 52}{space 1}    0.36{col 61}{space 3}0.722{col 69}{space 4}-.0319706{col 82}{space 3} .0461506
{txt}Populationdensitypeoplepers {c |}{col 29}{res}{space 2}-.0005256{col 41}{space 2} .0003248{col 52}{space 1}   -1.62{col 61}{space 3}0.106{col 69}{space 4}-.0011626{col 82}{space 3} .0001114
{txt}{space 3}PopulationtotalSPPOPTOTL {c |}{col 29}{res}{space 2}-1.89e-09{col 41}{space 2} 1.95e-09{col 52}{space 1}   -0.97{col 61}{space 3}0.333{col 69}{space 4}-5.72e-09{col 82}{space 3} 1.94e-09
{txt}{space 4}Laborforcefemaleoftotal {c |}{col 29}{res}{space 2} .0264239{col 41}{space 2} .0344251{col 52}{space 1}    0.77{col 61}{space 3}0.443{col 69}{space 4}-.0410932{col 82}{space 3} .0939411
{txt}Prevalenceofanemiaamongnonp {c |}{col 29}{res}{space 2}-.0159524{col 41}{space 2} .0072603{col 52}{space 1}   -2.20{col 61}{space 3}0.028{col 69}{space 4}-.0301918{col 82}{space 3} -.001713
{txt}{space 4}Populationfemaleoftotal {c |}{col 29}{res}{space 2}-.1297768{col 41}{space 2} .0673161{col 52}{space 1}   -1.93{col 61}{space 3}0.054{col 69}{space 4}-.2618021{col 82}{space 3} .0022485
{txt}{space 20}polity2 {c |}{col 29}{res}{space 2}  .013608{col 41}{space 2} .0090305{col 52}{space 1}    1.51{col 61}{space 3}0.132{col 69}{space 4}-.0041033{col 82}{space 3} .0313194
{txt}Laborforceparticipationrate {c |}{col 29}{res}{space 2} .0080036{col 41}{space 2} .0205243{col 52}{space 1}    0.39{col 61}{space 3}0.697{col 69}{space 4}-.0322502{col 82}{space 3} .0482574
{txt}{space 6}TradeofGDPNETRDGNFSZS {c |}{col 29}{res}{space 2}-.0212437{col 41}{space 2} .0030208{col 52}{space 1}   -7.03{col 61}{space 3}0.000{col 69}{space 4}-.0271684{col 82}{space 3} -.015319
{txt}Employmenttopopulationratio {c |}{col 29}{res}{space 2}-.0257667{col 41}{space 2} .0134996{col 52}{space 1}   -1.91{col 61}{space 3}0.056{col 69}{space 4}-.0522432{col 82}{space 3} .0007098
{txt}{space 2}Ruralpopulationoftotalpop {c |}{col 29}{res}{space 2}-.0276015{col 41}{space 2} .0082038{col 52}{space 1}   -3.36{col 61}{space 3}0.001{col 69}{space 4}-.0436914{col 82}{space 3}-.0115117
{txt}{space 2}Importsofgoodsandservices {c |}{col 29}{res}{space 2} .0478233{col 41}{space 2} .0055919{col 52}{space 1}    8.55{col 61}{space 3}0.000{col 69}{space 4} .0368562{col 82}{space 3} .0587905
{txt}{space 24}y26 {c |}{col 29}{res}{space 2}-.0828247{col 41}{space 2} .0879434{col 52}{space 1}   -0.94{col 61}{space 3}0.346{col 69}{space 4}-.2553059{col 82}{space 3} .0896564
{txt}{space 24}y27 {c |}{col 29}{res}{space 2}-.0287122{col 41}{space 2} .0895136{col 52}{space 1}   -0.32{col 61}{space 3}0.748{col 69}{space 4}-.2042729{col 82}{space 3} .1468484
{txt}{space 24}y28 {c |}{col 29}{res}{space 2} .0384969{col 41}{space 2} .0890059{col 52}{space 1}    0.43{col 61}{space 3}0.665{col 69}{space 4}-.1360681{col 82}{space 3} .2130619
{txt}{space 24}y29 {c |}{col 29}{res}{space 2} .0296192{col 41}{space 2} .0917704{col 52}{space 1}    0.32{col 61}{space 3}0.747{col 69}{space 4}-.1503678{col 82}{space 3} .2096062
{txt}{space 24}y30 {c |}{col 29}{res}{space 2}-.0281839{col 41}{space 2} .0886968{col 52}{space 1}   -0.32{col 61}{space 3}0.751{col 69}{space 4}-.2021427{col 82}{space 3} .1457748
{txt}{space 24}y31 {c |}{col 29}{res}{space 2} .0162852{col 41}{space 2} .0919915{col 52}{space 1}    0.18{col 61}{space 3}0.860{col 69}{space 4}-.1641354{col 82}{space 3} .1967057
{txt}{space 24}y32 {c |}{col 29}{res}{space 2}-.1288957{col 41}{space 2}  .093286{col 52}{space 1}   -1.38{col 61}{space 3}0.167{col 69}{space 4}-.3118552{col 82}{space 3} .0540639
{txt}{space 24}y33 {c |}{col 29}{res}{space 2} -.166077{col 41}{space 2} .0966094{col 52}{space 1}   -1.72{col 61}{space 3}0.086{col 69}{space 4}-.3555547{col 82}{space 3} .0234006
{txt}{space 24}y34 {c |}{col 29}{res}{space 2} -.098761{col 41}{space 2} .0968846{col 52}{space 1}   -1.02{col 61}{space 3}0.308{col 69}{space 4}-.2887783{col 82}{space 3} .0912562
{txt}{space 24}y35 {c |}{col 29}{res}{space 2} .2779668{col 41}{space 2} .0948516{col 52}{space 1}    2.93{col 61}{space 3}0.003{col 69}{space 4} .0919368{col 82}{space 3} .4639967
{txt}{space 24}y36 {c |}{col 29}{res}{space 2}  .145111{col 41}{space 2} .0958616{col 52}{space 1}    1.51{col 61}{space 3}0.130{col 69}{space 4}   -.0429{col 82}{space 3} .3331219
{txt}{space 24}y37 {c |}{col 29}{res}{space 2} .0505384{col 41}{space 2} .0975416{col 52}{space 1}    0.52{col 61}{space 3}0.604{col 69}{space 4}-.1407674{col 82}{space 3} .2418443
{txt}{space 24}y38 {c |}{col 29}{res}{space 2} .0542414{col 41}{space 2} .1004959{col 52}{space 1}    0.54{col 61}{space 3}0.589{col 69}{space 4}-.1428587{col 82}{space 3} .2513415
{txt}{space 24}y39 {c |}{col 29}{res}{space 2} .1357034{col 41}{space 2}  .100491{col 52}{space 1}    1.35{col 61}{space 3}0.177{col 69}{space 4}-.0613872{col 82}{space 3} .3327939
{txt}{space 24}y40 {c |}{col 29}{res}{space 2} .1059806{col 41}{space 2} .1012306{col 52}{space 1}    1.05{col 61}{space 3}0.295{col 69}{space 4}-.0925603{col 82}{space 3} .3045216
{txt}{space 24}y41 {c |}{col 29}{res}{space 2} .1469599{col 41}{space 2} .1041542{col 52}{space 1}    1.41{col 61}{space 3}0.158{col 69}{space 4} -.057315{col 82}{space 3} .3512349
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} 12.24703{col 41}{space 2} 3.152645{col 52}{space 1}    3.88{col 61}{space 3}0.000{col 69}{space 4} 6.063823{col 82}{space 3} 18.43023
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                    sigma_u {c |} {res} 1.4655086
                    {txt}sigma_e {c |} {res}  .7390267
                        {txt}rho {c |} {res} .79725848{txt}   (fraction of variance due to u_i)
{hline 28}{c BT}{hline 64}
F test that all u_i=0: F({res}137{txt}, {res}1811{txt}) = {res}33.44{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. test wom1 = wom2 // low vs middle

{p 0 7}{space 1}{text:( 1)}{space 1} {res}wom1 - wom2 = 0{p_end}

{txt}       F(  1,  1811) ={res}    9.90
{txt}{col 13}Prob > F ={res}    0.0017
{txt}
{com}. test wom2 = wom3 // middle vs high

{p 0 7}{space 1}{text:( 1)}{space 1} {res}wom2 - wom3 = 0{p_end}

{txt}       F(  1,  1811) ={res}    0.89
{txt}{col 13}Prob > F ={res}    0.3466
{txt}
{com}. test wom1 = wom3 // low vs high

{p 0 7}{space 1}{text:( 1)}{space 1} {res}wom1 - wom3 = 0{p_end}

{txt}       F(  1,  1811) ={res}    0.15
{txt}{col 13}Prob > F ={res}    0.6978
{txt}
{com}. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     1,979{col 28}-2279.729{col 39}-2121.807{col 50}    31{col 58} 4305.613{col 69} 4478.914
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] BIC note}}.{p_end}

{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/aqpimac/Dropbox/Kendall-Hannah-Andy/final-replication-june2021/done/log-table-1.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}19 Jul 2021, 17:08:08
{txt}{.-}
{smcl}
{txt}{sf}{ul off}